Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients

Research article (Artificial Intelligence in Medicine, 2015) · cited 16× · AI/ML
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Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients

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Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/removing-confounding-factors-via-constraint-based-clustering-an-application-to-finding-homogeneous-groups-of-multiple-sc
MLA “Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/removing-confounding-factors-via-constraint-based-clustering-an-application-to-finding-homogeneous-groups-of-multiple-sc.
BibTeX @misc{4ortxyz_removing-confounding-factors-via-constraint-based-clustering-an-application-to-finding-homogeneous-groups-of-multiple-sc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Removing confounding factors via constraint-based clustering: An application to finding homogeneous groups of multiple sclerosis patients}}, year = {2026}, url = {https://4ort.xyz/entity/removing-confounding-factors-via-constraint-based-clustering-an-application-to-finding-homogeneous-groups-of-multiple-sc}, note = {Accessed: 2026-05-24}}
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